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Gradient Descent
⛰️ Gradient Descent
Optimization, Learning Rate, Backpropagation, Convergence
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Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment
📊
Empirical Bayes
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment
mingusb/transformer-golf: The Fully Unrolled Transformer: An experimental repository for architecture simplification and compilation. [2026]
🔲
Zarr
Content type:
Code
github.com
·
6d
6 days ago
·
Hacker News
Actions for mingusb/transformer-golf: The Fully Unrolled Transformer: An experimental repository for architecture simplification and compilation. [2026]
Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States
🗺️
Manifold Learning
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States
Second-Order Path Kernel Interpolation Formulas in Machine
Learning
📊
Empirical Bayes
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for Second-Order Path Kernel Interpolation Formulas in Machine Learning
Overcoming Rank Collapse in Feedback Alignment
📐
Matrix Factorization
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Overcoming Rank Collapse in Feedback Alignment
I stopped using most of Rust’s advanced features for my ML library
🦠
Whole cell model
Content type:
Code
github.com
·
2d
2 days ago
·
r/rust
Actions for I stopped using most of Rust’s advanced features for my ML library
Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD
📦
Pseudobulk
Content type:
Academic
arxiv.org
·
1w
1 week ago
Actions for Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD
A Theory on Flow Matching with Neural Networks
🔢
Embeddings
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for A Theory on Flow Matching with Neural Networks
iblameandrew/open-deepthink: Grok-heavy at the price of API cost. You choose the model. An unlimited army to think about your problem.
🗺️
Network Visualization
Content type:
Code
github.com
·
4d
4 days ago
·
r/LocalLLaMA
Actions for iblameandrew/open-deepthink: Grok-heavy at the price of API cost. You choose the model. An unlimited army to think about your problem.
Predictive Coding with Bayesian Priors via Proximal
Gradients
📊
Empirical Bayes
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Predictive Coding with Bayesian Priors via Proximal Gradients
Predictable Scaling Laws of
Optimal
Hyperparameters
for LLM Continued Pre-training
📊
Empirical Bayes
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Predictable Scaling Laws of Optimal Hyperparameters for LLM Continued Pre-training
Reinforcement
Learning
for Flow-Matching Policies with Density Transport
📐
Computational Geometry
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Reinforcement Learning for Flow-Matching Policies with Density Transport
Adaptive
Learning
Rates
with Surrogate Probability for Follow-the-Perturbed-Leader
🎪
Convex Optimization
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader
Optimizing
Energy-based Neural Network Training with Coherent Ising Machine
🔢
Embeddings
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Optimizing Energy-based Neural Network Training with Coherent Ising Machine
Flatland: The Adventures of
Gradient
Descent
with Large Step Sizes
🎪
Convex Optimization
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for Flatland: The Adventures of Gradient Descent with Large Step Sizes
Structured
Adaptive
Tensor Prediction for Streaming Data
🗺️
Manifold Learning
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Structured Adaptive Tensor Prediction for Streaming Data
Pseudospectral Bounds for Transient Amplification in Coupled
Gradient
Descent
🎪
Convex Optimization
Content type:
Academic
arxiv.org
·
1w
1 week ago
Actions for Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent
Meltedd/scarecrow: An adversarial frame pattern
optimizer
for evading automated license plate recognition, personalized to your plate.
🗺️
UMAP
Content type:
Code
github.com
·
6d
6 days ago
·
Hacker News
Actions for Meltedd/scarecrow: An adversarial frame pattern optimizer for evading automated license plate recognition, personalized to your plate.
Predicting Physical and Physical-Chemical Properties of Molecular-Based Materials Using Computational Neural Networks
🗺️
Manifold Learning
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Predicting Physical and Physical-Chemical Properties of Molecular-Based Materials Using Computational Neural Networks
An Ensembled Latent Factor Model via Differential Evolution and
Gradient
Descent
Optimization
📐
Matrix Factorization
Content type:
Academic
arxiv.org
·
1w
1 week ago
Actions for An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimization
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